Shypd.aiThe largest open index of AI toolsMultiNet is an open-source AI tool that performs real-time joint semantic reasoning for autonomous driving. It integrates road segmentation, car detection, and street classification, achieving state-of-the-art performance.
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MultiNet is an open-source AI tool designed for real-time joint semantic reasoning in autonomous driving applications. It excels at simultaneously performing road segmentation, car detection, and street classification, offering state-of-the-art performance in segmentation while maintaining real-time processing speeds. The model is built as an encoder-decoder architecture, utilizing a VGG encoder and independent decoders for each task. This repository combines several TensorFlow models, specifically KittiSeg for road segmentation, KittiBox for car detection, and KittiClass for street classification, which are included as submodules. MultiNet is compatible with the TensorVision backend for organized experiment management and requires Python 2.7 and TensorFlow 1.0.
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